NFLNO PLAY research

Bhayshul Tuten

Position and team not on the research feed

Next gameIndianapolis Colts @ Jacksonville JaguarsSun, Nov 1, 1:00 PM ETGame intelligence →
Historical sample Measured
7 games
Last 10 · receptions Measured
6/7
MCP consistency Model
34.6
Markets evaluated
6
Evidence · receptionsNO PLAY
Line MarketUNDER 2.5
Price-150
Sportsbook—
REPICOM modelModel70.1%
Market impliedMarket60.0%
Model − market+10.1 ptsPrice -150
Edge Derived
+10.1 pts
EV per 1u Derived
+0.169u
Sample Measured
7 g
REPICOM decisionNO PLAY

Model signal exists, but the player does not meet the 20-game publication history floor.

A positive gap is not a pick: qualification also requires confidence, edge, expected value and a sufficient sample — those rules are unchanged.
Source & method · as of Oct 28, 3:37 PM ET
Source
repicom_public_nfl_intelligence_v1 (NO PLAY research rows, read server-side)
Statistic
Probability of the evaluated side, in %
Calculation
Model = model_probability. Market = captured market_probability; if absent, implied from american_odds (−odds ÷ (−odds + 100), or 100 ÷ (odds + 100)). Gap = model − market, in percentage points. EV = p × (decimal − 1) − (1 − p) per 1u.
Sample
history_games on the row
Freshness
Read on every request (no cache); the market price is the one captured with the evaluation
Missing data
A missing probability or price shows “—” and no bar. Nothing is estimated.
Recent form · receptionsMeasured
Cleared the line, last 106/786%
Count of hits in the sample, not an ordered game log.
Current miss streak
1
MCP consistency Model
34.6
Line on record
2.5
Source & method · as of Oct 28, 3:37 PM ET
Source
repicom_nfl_intelligence_v1 — non-qualified, unlocked rows only, joined on player + market (+ game_id)
Statistic
Games that cleared the line, out of the last 10 (count)
Calculation
recent10_hits ÷ recent10_games. Dots show the count, not the game order.
Sample
recent10_games
Freshness
Read on every request (no cache)
Missing data
No confident join → “Recent form unavailable”.
Market map · every evaluated marketTap a market
REPICOM modelMarket impliedGap in pts
Compare playersPublic research only
Bhayshul Tuten
Jonathan Taylor
Historical sample
7 g40 g
Last-10 hit rate
86%90%
Best model − market gap
+10.1 pts+15.8 pts
Markets evaluated
66
Open Jonathan Taylor
Game-by-game · real game logs vs the Hard Rock line
Rushing yardsOver the line in 5 of last 6 with a Hard Rock line
2026 season
64.7
Last 5
64.4
Last 10
64.7
Home · Away
62.5 · 69.0
DateOppRushing yardsLine
Oct 18vs HOU3963.5Under
Oct 11vs PHI7268.5Over
Oct 4@ CIN7354.5Over
Sep 27vs NE7351.5Over
Sep 20@ DEN6550.5Over
Sep 13vs CLE6646.5Over
ReceptionsOver the line in 5 of last 6 with a Hard Rock line
2026 season
2.2
Last 5
2.4
Last 10
2.2
Home · Away
2.3 · 2.0
DateOppReceptionsLine
Oct 18vs HOU41.5Over
Oct 11vs PHI21.5Over
Oct 4@ CIN21.5Over
Sep 27vs NE21.5Over
Sep 20@ DEN21.5Over
Sep 13vs CLE11.5Under
Receiving yardsOver the line in 5 of last 6 with a Hard Rock line
2026 season
21.0
Last 5
20.8
Last 10
21.0
Home · Away
27.8 · 7.5
DateOppReceiving yardsLine
Oct 18vs HOU489.5Over
Oct 11vs PHI249.5Over
Oct 4@ CIN1810.5Over
Sep 27vs NE1710.5Over
Sep 20@ DEN-38.5Under
Sep 13vs CLE2210.5Over

Stats: nflverse game logs, regular season. Line: Hard Rock's final line before each game, when we captured one. Green bar = over the line, red = under.

SourcesResearch: repicom_public_nfl_intelligence_v1 (NO PLAY rows) · Form: repicom_nfl_intelligence_v1 (non-qualified rows only) · Read live at Oct 28, 3:37 PM ET.Member-qualified and locked player markets are never shown on public research pages. A research signal is not a REPICOM play.